2019ChenGong / Offline_RL_PoisonerLinks
[S&P 2024] Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets".
☆30Updated 10 months ago
Alternatives and similar repositories for Offline_RL_Poisoner
Users that are interested in Offline_RL_Poisoner are comparing it to the libraries listed below
Sorting:
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆30Updated 3 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆68Updated 4 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆138Updated 4 years ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆34Updated 4 years ago
- Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning☆19Updated 5 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆98Updated 4 years ago
- A new model-based algorithm for offline inverse reinforcement learning☆15Updated 2 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆27Updated 2 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆31Updated 4 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- ☆77Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 11 months ago
- [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition☆36Updated last year
- Deep Implicit Coordination Graphs☆43Updated last year
- ☆17Updated 2 years ago
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆19Updated last year
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆75Updated 3 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆26Updated 5 years ago
- Pytorch implementation of InfoGAIL and WGAIL☆19Updated 3 years ago
- Codes for the paper "Multi-task Hierarchical Adversarial Inverse Reinforcement Learning"☆19Updated 2 years ago
- ☆31Updated 4 years ago
- Implementations of safe reinforcement learning algorithms☆29Updated last year
- Deep Learning (FS 2020)☆17Updated 3 years ago
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆16Updated 6 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated 2 years ago
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆42Updated 3 years ago
- ☆51Updated 3 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 3 years ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆175Updated 2 years ago